• Program Duration44 weeks
  • Learning FormatOnline Bootcamp
  • Admission closes on
    Sep 25th, 2023

PGP AI and ML Course Highlights

  • Partnership With Purdue University

    Program certificate from Purdue University and Simplilearn

    Become eligible for a membership at the Purdue University Alumni Association

  • Practical & Industry-Relevant Experience

    Live classes on the latest topics such as generative AI, prompt engineering and more

    25+ hands-on projects and 3 capstone projects with integrated labs

  • Learn from the Experts

    Curriculum delivered in live classes by industry experts

    Masterclasses by the eminent Purdue faculty and industry-specialists from IBM

  • Simplilearn Career Service

    Strengthen your resume and professional profile with exclusive insider tips

    Highlight your profile to recruiters and stand out in the job market



Career Opportunites After PGP AI and ML Course

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Program Outcomes

Program CertificateProgram Certificate
  • AI & ML program completion certificate from Purdue and Simplilearn
  • Become eligible for a membership at the Purdue Alumni Association
  • Industry recognized IBM certificates for IBM courses
  • Practical exposure to generative AI, ChatGPT, explainable AI, and more

PGP AI and ML Course Curriculum

  • Discover the principles of automation, analysis, and much more from the AI ML Course, which is offered in collaboration with Purdue University. Begin your AI adventure by taking the AI and ML course on statistics and intelligent computing.

  • This course helps you establish a firm foundation in mathematical and statistical principles. It focuses on enhancing critical thinking, problem-solving, and data analysis abilities to support informed decision-making and the application of relevant mathematical and statistical techniques in various industry contexts. This course is a starting point for this program.

  • Acquire essential Python skills that you will use throughout the program. Leverage Python to implement algorithms, conduct data analysis, and construct intelligent systems effectively and efficiently.

  • Kickstart your learning by getting an understanding of the Python language and its libraries, writing scripts using the Jupyter-based lab environment with these AI ML course.

  • Designed by IBM, this course explores using Python for data science. You will learn how to write Python scripts and conduct critical hands-on data analysis using a Jupyter-based lab environment.

  • This course explores diverse machine learning types and their practical applications. You will study the machine learning pipeline and dive into supervised learning, including regression models and classification algorithms. You will gain experience with unsupervised learning, focusing on clustering techniques and ensemble modeling. Additionally, you will evaluate frameworks like TensorFlow and Keras and gain hands-on experience with PyTorch to build a recommendation engine.

  • Take your machine learning skills to the next level in this course by understanding deep learning with TensorFlow and Keras. You will gain proficiency in deep learning concepts, enabling you to construct artificial neural networks and navigate through layers of data abstraction. By unlocking the potential of data, this course prepares you for new frontiers in Artificial Intelligence.

  • Explore the basics and practical use cases of deep learning and learn how it differs from machine learning. Topics covered include neural networks, forward/backward propagation, TensorFlow 2, Keras, performance enhancement, model interpretability, CNNs, transfer learning, object detection, RNNs, autoencoders, and PyTorch.

  • This course provides a comprehensive understanding of the latest AI topics, such as generative AI, prompt engineering, and ChatGPT. You will gain practical experience and know-how of what they are and how to leverage them for different business applications. You will also explore prompt engineering and its role in generating desired outputs.

  • Implement the skills you will gain throughout this program in this capstone project. You will solve industry-specific challenges by leveraging various AI and ML tools and techniques learned in the program modules. This project will help you showcase your new expertise to potential employers.

Skills Covered

  • ChatGPT
  • Computer Vision
  • Conversational AI
  • Deep Learning
  • Ensemble Methods
  • Explainable AI
  • Generative AI
  • Machine Learning Algorithms
  • Model Evaluation and Validation
  • Model Training and Optimization
  • Natural Language Processing
  • Prompt Engineering
  • Reinforcement Learning
  • Speech Recognition
  • Supervised and Unsupervised Learning

Tools Covered

Open AI Gym
Amazon Sagemaker

Industry Project


    PGP AI and ML Course Program Advisor

    PGP AI and ML Course Fee

    Program Fee $ 4,500

    Pay in Installments

    As low as

    You can pay monthly installments using Affirm, Splitit, Climb Credit and Klarna.These plans are offered with low APR and no hidden fees.

    Eligibilty Criteria

    • Should have a bachelor's degree in relevant domain
    • Basic understanding of programming concepts and mathematics
    • 2+ years of work experience preferred

    Best Suited For

    • Software Engineers
    • IT Professionals
    • Data Professionals
    • Business Analysts
    • Product Managers

    How to Apply For PGP AI and ML Course

    • STEP 1Submit Application

      Tell us why you’d want to do this AI and ML Course

    • STEP 2Application Review

      An admission panel will shortlist candidates based on their application

    • STEP 3Admission

      Selected candidates start the AI and ML Course in 1-2 weeks

    Apply Now

    PGP AI and ML Course FAQs

    • What sets Purdue University's ML course with Simplilearn apart in the competitive AI landscape?

    • What are the core concepts covered in Purdue's generative AI course with Simplilearn?

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    • What are the advantages of taking Purdue's AI online course with Simplilearn?

    • Which industries gain the most from Simplilearn & Purdue ML/AI skills?

    • Are any research opportunities available for students in the US?

    • What career paths can graduates of Simplilearn x Purdue's AI courses pursue in the US job market?

    • How does Simplilearn x Purdue's machine learning curriculum incorporate real-world applications?

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